How can we measure the resource mobilization (RM) efforts of social movements on Twitter? In this article, we create the first ever measure of social movements’ RM efforts on a social media platform. To this aim, we create a four-conditional lexicon that can parse through tweets and identify those concerned with RM. We also create a simple RM score that can be plotted in a time series format to track the RM efforts of social movements in real time. We use our tools with millions of tweets from the United States streamed between November 28, 2018, and February 11, 2019, to demonstrate how our measure can help us estimate the saliency and persistency of social movements’ RM efforts. We find that our measure captures RM by successfully cross checking the variation of this score against protest events in the United States during the same time frame. Finally, we illustrate the descriptive and qualitative utility of our tools for understanding social movements by running conventional topic modeling algorithms on the tweets that were used to compute the RM score and point at specific avenues for theory building and testing.

我们如何衡量Twitter上社交运动的资源动员（RM）努力？在本文中，我们在社交媒体平台上创建了社交运动在RM方面所做努力的第一个指标。为此，我们创建了一个四条件词典，可以通过推文解析并识别与RM有关的人员。我们还创建了一个简单的RM得分，可以按时间序列格式绘制该得分，以实时跟踪社交活动的RM努力。我们将工具与2018年11月28日至2019年2月11日之间来自美国的数百万条推文一起使用，以展示我们的措施如何帮助我们估计社交运动的RM努力的显着性和持续性。我们发现，通过在同一时间段内针对美国的抗议事件成功地交叉检查了此得分的变化，我们的措施就可以捕获RM。